---
title: "Towards Measuring the Impact of Weather Phenomena on Arrival Management"
author: 
  - name: PRU
    orcid: tbd
    corresponding: true
    affiliation: AIU/OPS
    email: pru-support@eurocontrol.int
    roles:
        - Investigation
        - Project administration
        - software
        - visualisations
  - name: DECEA        
keywords:
  - air navigation
  - arrival management
  - weather impact
abstract: |
  **TEASER** With air transportation recovering around the globe, the policy focus shifts back to environmental protection and the climate change impact of air transportation. Arrival operations at airports form part of a substantial benefit pool.
  **WHY IMPORTANT** Little attention is currently given to the underlying mechanism of changing weather phenomena on arriving air traffic.
  **APPROACH** This paper presents the conceptual approach to describe arrival management sequencing as a spatio-temporal problem within 200NM around an airport. The success of the trajectory-based operations will be analysed in light of significant weather disruptions at the arrival airports and within the studied arrival horizon.
  **EXPERIMENT**
  **MAJOR RESULT/TAKE AWAY**
---

::: {.callout-note}
This article is work in progress. We also use the Quarto manuscript project type to explore the new features. Please consult these pages regularly to follow any updates.
:::

## Introduction

```{r}
#| label: tbl-thresholdvalues
#| tbl-cap: Threshold values for proxies defining particular hazard type.

thr_values <- tibble::tribble(
 ~"Hazard type", ~"Shortcut", ~"Threshold values"
,"Thunderstorm", "TSTM",  "ML CAPE >150 J kg-1, convective precipitation >0.25 mm h-1" 
,"Limited visibility", "LIMV", "Ceiling height <200 ft AGL, low-level cloud cover ¼100%" ,"Low-level wind shear", "LLWS", "0–100 m AGL vertical wind shear gradient >3 kt per 100 ft" ,"Snowfall", "SNOW", "Snowfall >0.5 mm h 1 (liquid water content equivalent)"  
)

thr_values |> gt::gt()
```

Values from [@taszarek2020].
Add some more text. Where is the article gone?

## Background

## Concept, Methods, and Data

## Results and Discussion

## Conclusion

## References